Service plans

Choose a pragmatic AI engagement

Flexible options for strategy, pilots and production deployments. Each plan complements in-house teams and focuses on measurable progress.

Consultation

Initial 30-minute discovery call

0
  • Problem assessment and prioritisation
  • High-level data readiness check
  • Suggested next steps and ballpark timelines
  • No-obligation discussion
  • Implementation work not included
  • Custom engineering
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30 minutes
Pilot-ready

Pilot

Validated prototype with KPIs

4050/SGD
  • Dedicated engineering sprint
  • Model and integration prototype
  • Performance baseline and KPIs
  • Operational handover checklist
  • Knowledge transfer to your team
  • Long-term hosting (available separately)
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Custom pricing available for multi-pilot engagements
Enterprise

Enterprise Delivery

Full-scale implementation and support

2000/SGD
  • End-to-end delivery and integration
  • SLA-backed support options
  • Monitoring, retraining and maintenance
  • Integration with existing systems: we map your current tools and connect AI components to reduce duplicative work and preserve historical data accuracy.
  • Custom workflows and automation: automate repetitive tasks and approvals so your team can focus on higher-value work with predictable implementation timelines.
  • Security-first deployment: role-based access and encrypted endpoints included to help align the solution with your internal compliance needs.
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The Basic Plan is designed for teams starting AI adoption. It includes a phased rollout, a single model integration point, and monthly performance reviews. Pricing is structured to scale as your usage grows and additional integrations or models are added.
Get started

Move from idea to impact with Luminvaya

Start with a brief discovery to identify a high-impact AI use case. We scope a practical pilot, estimate costs, and outline measurable success criteria — then build a working solution you can deploy. Book a consultation to accelerate results.

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Practical Roadmap for AI Adoption

Step-by-step integration that reduces disruption and delivers measurable operational gains

Phase 1
Discovery

Business alignment and technical audit

We start by mapping business priorities to measurable outcomes and auditing your technical estate. This phase identifies high-impact use cases, data readiness, and integration points so the engineering effort focuses on value rather than experimentation.

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Phase 2
Build

MVP development and pilot

In the build phase we deliver an MVP tailored to your top use case, deploy it in a controlled pilot, and instrument metrics that matter to your stakeholders. Rapid feedback cycles allow refinement of models, interfaces, and workflows before wider rollout.

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Phase 3
Scale

Rollout and continuous improvement

Once the pilot demonstrates operational improvements, we expand the deployment across teams, add integrations, and implement monitoring and governance. Regular reviews and optimization ensure the AI continues to support evolving business goals.

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